------------------------------------------------------------------------------------------------------------------------------------
      name:  <unnamed>
       log:  /Users/rachaelhinkle/Dropbox/diversityPublication/AuthorshipPaper/dataFilesR&R/authorship.log
  log type:  text
 opened on:   8 Dec 2017, 11:05:12

. 
. use "authorshipCaseLevelData.dta", clear

. 
. *Table 2: Case Level Summary Statistics
. tab numWom

     numWom |      Freq.     Percent        Cum.
------------+-----------------------------------
          0 |      2,656       43.16       43.16
          1 |      2,624       42.64       85.80
          2 |        816       13.26       99.06
          3 |         58        0.94      100.00
------------+-----------------------------------
      Total |      6,154      100.00

. tab numMin

     numMin |      Freq.     Percent        Cum.
------------+-----------------------------------
          0 |      3,475       56.47       56.47
          1 |      2,256       36.66       93.13
          2 |        380        6.17       99.30
          3 |         43        0.70      100.00
------------+-----------------------------------
      Total |      6,154      100.00

. tab assMale

    assMale |      Freq.     Percent        Cum.
------------+-----------------------------------
          0 |      1,782       28.96       28.96
          1 |      4,372       71.04      100.00
------------+-----------------------------------
      Total |      6,154      100.00

. tab assWhite

   assWhite |      Freq.     Percent        Cum.
------------+-----------------------------------
          0 |      1,017       16.53       16.53
          1 |      5,137       83.47      100.00
------------+-----------------------------------
      Total |      6,154      100.00

. tab selfAss

    selfAss |      Freq.     Percent        Cum.
------------+-----------------------------------
          0 |      3,883       63.10       63.10
          1 |      2,271       36.90      100.00
------------+-----------------------------------
      Total |      6,154      100.00

. tab auMale

     auMale |      Freq.     Percent        Cum.
------------+-----------------------------------
          0 |      1,438       23.37       23.37
          1 |      4,716       76.63      100.00
------------+-----------------------------------
      Total |      6,154      100.00

. tab auWhite

    auWhite |      Freq.     Percent        Cum.
------------+-----------------------------------
          0 |      1,008       16.38       16.38
          1 |      5,146       83.62      100.00
------------+-----------------------------------
      Total |      6,154      100.00

. tab published

  published |      Freq.     Percent        Cum.
------------+-----------------------------------
          0 |      2,220       36.07       36.07
          1 |      3,934       63.93      100.00
------------+-----------------------------------
      Total |      6,154      100.00

. 
. 
. *** Judge Level analysis
. use "authorship.dta", clear

. 
. *Table 3: Judge Level Summary statistics
. tab genBuck

              gbucklab |      Freq.     Percent        Cum.
-----------------------+-----------------------------------
   Male assign to same |     10,887       60.76       60.76
  Male assign to other |      1,859       10.38       71.14
 Female assign to same |      2,398       13.38       84.52
Female assign to other |      2,773       15.48      100.00
-----------------------+-----------------------------------
                 Total |     17,917      100.00

. tab raceBuck

                raceBuck |      Freq.     Percent        Cum.
-------------------------+-----------------------------------
    White assign to same |     13,211       73.73       73.73
   White assign to other |      1,731        9.66       83.40
 Minority assign to same |      1,170        6.53       89.93
Minority assign to other |      1,805       10.07      100.00
-------------------------+-----------------------------------
                   Total |     17,917      100.00

. tab published

  published |      Freq.     Percent        Cum.
------------+-----------------------------------
          0 |      6,567       36.65       36.65
          1 |     11,350       63.35      100.00
------------+-----------------------------------
      Total |     17,917      100.00

. tab assignor

   assignor |      Freq.     Percent        Cum.
------------+-----------------------------------
          0 |     11,940       66.64       66.64
          1 |      5,977       33.36      100.00
------------+-----------------------------------
      Total |     17,917      100.00

. tab clerk

      clerk |      Freq.     Percent        Cum.
------------+-----------------------------------
          0 |     10,521       58.78       58.78
          1 |      7,377       41.22      100.00
------------+-----------------------------------
      Total |     17,898      100.00

. tab aba2

       aba2 |      Freq.     Percent        Cum.
------------+-----------------------------------
          0 |      5,934       33.12       33.12
          1 |     11,983       66.88      100.00
------------+-----------------------------------
      Total |     17,917      100.00

. tab freshman

   freshman |      Freq.     Percent        Cum.
------------+-----------------------------------
          0 |     17,445       97.37       97.37
          1 |        472        2.63      100.00
------------+-----------------------------------
      Total |     17,917      100.00

. tab desig

      desig |      Freq.     Percent        Cum.
------------+-----------------------------------
          0 |     16,143       90.10       90.10
          1 |      1,774        9.90      100.00
------------+-----------------------------------
      Total |     17,917      100.00

. sum iddist tenure, detail

                           iddist
-------------------------------------------------------------
      Percentiles      Smallest
 1%            0              0
 5%            0              0
10%            0              0       Obs               17898
25%            0              0       Sum of Wgt.       17898

50%         .085                      Mean           .2460942
                        Largest       Std. Dev.      .2987566
75%         .477           1.04
90%         .777           1.04       Variance       .0892555
95%         .844           1.04       Skewness       .9159887
99%         .915           1.04       Kurtosis        2.37649

                           tenure
-------------------------------------------------------------
      Percentiles      Smallest
 1%            1              0
 5%            2              0
10%            3              0       Obs               17898
25%            8              0       Sum of Wgt.       17898

50%           14                      Mean             15.568
                        Largest       Std. Dev.      9.790782
75%           22             44
90%           30             44       Variance        95.8594
95%           33             44       Skewness       .4786252
99%           39             44       Kurtosis        2.42821

. 
. *Table 1: Main regression results
. probit author i.genBuck##i.published i.raceBuck##i.published iddist assignor clerk aba2 tenure freshman desig b6.circuit, robust c
> luster(caseID) 

Iteration 0:   log pseudolikelihood = -11517.576  
Iteration 1:   log pseudolikelihood = -11463.363  
Iteration 2:   log pseudolikelihood =  -11463.35  
Iteration 3:   log pseudolikelihood =  -11463.35  

Probit regression                                 Number of obs   =      17898
                                                  Wald chi2(32)   =     356.18
                                                  Prob > chi2     =     0.0000
Log pseudolikelihood =  -11463.35                 Pseudo R2       =     0.0047

                                    (Std. Err. adjusted for 6154 clusters in caseID)
------------------------------------------------------------------------------------
                   |               Robust
            author |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------------+----------------------------------------------------------------
           genBuck |
                1  |   .1197702   .0587427     2.04   0.041     .0046365    .2349038
                2  |  -.0320444   .0381797    -0.84   0.401    -.1068752    .0427865
                3  |    .058692   .0332221     1.77   0.077     -.006422    .1238061
                   |
       1.published |   .0741188    .014065     5.27   0.000     .0465519    .1016856
                   |
 genBuck#published |
              1 1  |  -.2356449   .0723521    -3.26   0.001    -.3774525   -.0938374
              2 1  |  -.0107063    .047684    -0.22   0.822    -.1041652    .0827525
              3 1  |  -.0427391   .0416247    -1.03   0.305     -.124322    .0388438
                   |
          raceBuck |
                1  |   .0722819   .0599042     1.21   0.228    -.0451282     .189692
                2  |   -.049943   .0540549    -0.92   0.356    -.1558886    .0560026
                3  |   .0524175    .035556     1.47   0.140     -.017271     .122106
                   |
raceBuck#published |
              1 1  |  -.1943065   .0728101    -2.67   0.008    -.3370117   -.0516013
              2 1  |   .0807983    .070012     1.15   0.248    -.0564226    .2180192
              3 1  |  -.0963368   .0479219    -2.01   0.044    -.1902619   -.0024116
                   |
            iddist |   -.021683   .0411987    -0.53   0.599     -.102431     .059065
          assignor |   .1225441   .0339564     3.61   0.000     .0559908    .1890974
             clerk |   .0427854   .0210789     2.03   0.042     .0014715    .0840993
              aba2 |   .0017225   .0222982     0.08   0.938    -.0419812    .0454261
            tenure |  -.0010066   .0011406    -0.88   0.377    -.0032422    .0012289
          freshman |  -.1098524   .0680042    -1.62   0.106    -.2431382    .0234333
             desig |  -.1201547   .0371503    -3.23   0.001     -.192968   -.0473414
                   |
           circuit |
                1  |  -.0418882   .0081837    -5.12   0.000    -.0579279   -.0258485
                2  |  -.0051544   .0102424    -0.50   0.615    -.0252291    .0149204
                3  |  -.0296307   .0073577    -4.03   0.000    -.0440515   -.0152099
                4  |    .015782   .0124051     1.27   0.203    -.0085316    .0400956
                5  |  -.0039216   .0120421    -0.33   0.745    -.0275236    .0196805
                7  |  -.0366466   .0109019    -3.36   0.001    -.0580138   -.0152793
                8  |  -.0440193    .010739    -4.10   0.000    -.0650673   -.0229713
                9  |   .0329962   .0095399     3.46   0.001     .0142983    .0516941
               10  |  -.0484032   .0102634    -4.72   0.000     -.068519   -.0282874
               11  |   .0056583   .0115625     0.49   0.625    -.0170038    .0283204
               12  |  -.0191811    .013317    -1.44   0.150    -.0452819    .0069197
               13  |   .0449001   .0149344     3.01   0.003     .0156292     .074171
                   |
             _cons |  -.4516213   .0341101   -13.24   0.000    -.5184758   -.3847668
------------------------------------------------------------------------------------

. 
. *Figure 1: Predicted probabilities
. margins, at(genBuck=(0 1 2 3) raceBuck==(0 1 2 3) published=(0 1) iddist=.085 assignor=0 clerk=0 aba2=1 tenure=14 desig=0)

Predictive margins                                Number of obs   =      17898
Model VCE    : Robust

Expression   : Pr(author), predict()

1._at        : genBuck         =           0
               published       =           0
               raceBuck        =           0
               iddist          =        .085
               assignor        =           0
               clerk           =           0
               aba2            =           1
               tenure          =          14
               desig           =           0

2._at        : genBuck         =           0
               published       =           0
               raceBuck        =           1
               iddist          =        .085
               assignor        =           0
               clerk           =           0
               aba2            =           1
               tenure          =          14
               desig           =           0

3._at        : genBuck         =           0
               published       =           0
               raceBuck        =           2
               iddist          =        .085
               assignor        =           0
               clerk           =           0
               aba2            =           1
               tenure          =          14
               desig           =           0

4._at        : genBuck         =           0
               published       =           0
               raceBuck        =           3
               iddist          =        .085
               assignor        =           0
               clerk           =           0
               aba2            =           1
               tenure          =          14
               desig           =           0

5._at        : genBuck         =           0
               published       =           1
               raceBuck        =           0
               iddist          =        .085
               assignor        =           0
               clerk           =           0
               aba2            =           1
               tenure          =          14
               desig           =           0

6._at        : genBuck         =           0
               published       =           1
               raceBuck        =           1
               iddist          =        .085
               assignor        =           0
               clerk           =           0
               aba2            =           1
               tenure          =          14
               desig           =           0

7._at        : genBuck         =           0
               published       =           1
               raceBuck        =           2
               iddist          =        .085
               assignor        =           0
               clerk           =           0
               aba2            =           1
               tenure          =          14
               desig           =           0

8._at        : genBuck         =           0
               published       =           1
               raceBuck        =           3
               iddist          =        .085
               assignor        =           0
               clerk           =           0
               aba2            =           1
               tenure          =          14
               desig           =           0

9._at        : genBuck         =           1
               published       =           0
               raceBuck        =           0
               iddist          =        .085
               assignor        =           0
               clerk           =           0
               aba2            =           1
               tenure          =          14
               desig           =           0

10._at       : genBuck         =           1
               published       =           0
               raceBuck        =           1
               iddist          =        .085
               assignor        =           0
               clerk           =           0
               aba2            =           1
               tenure          =          14
               desig           =           0

11._at       : genBuck         =           1
               published       =           0
               raceBuck        =           2
               iddist          =        .085
               assignor        =           0
               clerk           =           0
               aba2            =           1
               tenure          =          14
               desig           =           0

12._at       : genBuck         =           1
               published       =           0
               raceBuck        =           3
               iddist          =        .085
               assignor        =           0
               clerk           =           0
               aba2            =           1
               tenure          =          14
               desig           =           0

13._at       : genBuck         =           1
               published       =           1
               raceBuck        =           0
               iddist          =        .085
               assignor        =           0
               clerk           =           0
               aba2            =           1
               tenure          =          14
               desig           =           0

14._at       : genBuck         =           1
               published       =           1
               raceBuck        =           1
               iddist          =        .085
               assignor        =           0
               clerk           =           0
               aba2            =           1
               tenure          =          14
               desig           =           0

15._at       : genBuck         =           1
               published       =           1
               raceBuck        =           2
               iddist          =        .085
               assignor        =           0
               clerk           =           0
               aba2            =           1
               tenure          =          14
               desig           =           0

16._at       : genBuck         =           1
               published       =           1
               raceBuck        =           3
               iddist          =        .085
               assignor        =           0
               clerk           =           0
               aba2            =           1
               tenure          =          14
               desig           =           0

17._at       : genBuck         =           2
               published       =           0
               raceBuck        =           0
               iddist          =        .085
               assignor        =           0
               clerk           =           0
               aba2            =           1
               tenure          =          14
               desig           =           0

18._at       : genBuck         =           2
               published       =           0
               raceBuck        =           1
               iddist          =        .085
               assignor        =           0
               clerk           =           0
               aba2            =           1
               tenure          =          14
               desig           =           0

19._at       : genBuck         =           2
               published       =           0
               raceBuck        =           2
               iddist          =        .085
               assignor        =           0
               clerk           =           0
               aba2            =           1
               tenure          =          14
               desig           =           0

20._at       : genBuck         =           2
               published       =           0
               raceBuck        =           3
               iddist          =        .085
               assignor        =           0
               clerk           =           0
               aba2            =           1
               tenure          =          14
               desig           =           0

21._at       : genBuck         =           2
               published       =           1
               raceBuck        =           0
               iddist          =        .085
               assignor        =           0
               clerk           =           0
               aba2            =           1
               tenure          =          14
               desig           =           0

22._at       : genBuck         =           2
               published       =           1
               raceBuck        =           1
               iddist          =        .085
               assignor        =           0
               clerk           =           0
               aba2            =           1
               tenure          =          14
               desig           =           0

23._at       : genBuck         =           2
               published       =           1
               raceBuck        =           2
               iddist          =        .085
               assignor        =           0
               clerk           =           0
               aba2            =           1
               tenure          =          14
               desig           =           0

24._at       : genBuck         =           2
               published       =           1
               raceBuck        =           3
               iddist          =        .085
               assignor        =           0
               clerk           =           0
               aba2            =           1
               tenure          =          14
               desig           =           0

25._at       : genBuck         =           3
               published       =           0
               raceBuck        =           0
               iddist          =        .085
               assignor        =           0
               clerk           =           0
               aba2            =           1
               tenure          =          14
               desig           =           0

26._at       : genBuck         =           3
               published       =           0
               raceBuck        =           1
               iddist          =        .085
               assignor        =           0
               clerk           =           0
               aba2            =           1
               tenure          =          14
               desig           =           0

27._at       : genBuck         =           3
               published       =           0
               raceBuck        =           2
               iddist          =        .085
               assignor        =           0
               clerk           =           0
               aba2            =           1
               tenure          =          14
               desig           =           0

28._at       : genBuck         =           3
               published       =           0
               raceBuck        =           3
               iddist          =        .085
               assignor        =           0
               clerk           =           0
               aba2            =           1
               tenure          =          14
               desig           =           0

29._at       : genBuck         =           3
               published       =           1
               raceBuck        =           0
               iddist          =        .085
               assignor        =           0
               clerk           =           0
               aba2            =           1
               tenure          =          14
               desig           =           0

30._at       : genBuck         =           3
               published       =           1
               raceBuck        =           1
               iddist          =        .085
               assignor        =           0
               clerk           =           0
               aba2            =           1
               tenure          =          14
               desig           =           0

31._at       : genBuck         =           3
               published       =           1
               raceBuck        =           2
               iddist          =        .085
               assignor        =           0
               clerk           =           0
               aba2            =           1
               tenure          =          14
               desig           =           0

32._at       : genBuck         =           3
               published       =           1
               raceBuck        =           3
               iddist          =        .085
               assignor        =           0
               clerk           =           0
               aba2            =           1
               tenure          =          14
               desig           =           0

------------------------------------------------------------------------------
             |            Delta-method
             |     Margin   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         _at |
          1  |   .3148621   .0076788    41.00   0.000      .299812    .3299122
          2  |   .3409523   .0208986    16.31   0.000     .2999919    .3819128
          3  |   .2973506    .020612    14.43   0.000     .2569519    .3377493
          4  |   .3336993   .0144122    23.15   0.000      .305452    .3619466
          5  |   .3416261    .008027    42.56   0.000     .3258935    .3573587
          6  |   .2980561    .015244    19.55   0.000     .2681785    .3279338
          7  |    .353017   .0202723    17.41   0.000     .3132842    .3927499
          8  |     .32566    .013654    23.85   0.000     .2988986    .3524215
          9  |   .3585272   .0192735    18.60   0.000     .3207518    .3963026
         10  |   .3858513   .0290921    13.26   0.000     .3288319    .4428707
         11  |   .3400528   .0285634    11.91   0.000     .2840696     .396036
         12  |   .3782789   .0232245    16.29   0.000     .3327597     .423798
         13  |   .3001906   .0145637    20.61   0.000     .2716462    .3287349
         14  |   .2591971   .0180957    14.32   0.000     .2237302     .294664
         15  |   .3110025   .0233385    13.33   0.000     .2652599     .356745
         16  |   .2851016   .0174078    16.38   0.000      .250983    .3192202
         17  |   .3035752   .0153571    19.77   0.000     .2734759    .3336746
         18  |   .3292824   .0256846    12.82   0.000     .2789416    .3796232
         19  |   .2863546   .0249509    11.48   0.000     .2374517    .3352576
         20  |   .3221299   .0195553    16.47   0.000     .2838023    .3604576
         21  |   .3260809   .0140566    23.20   0.000     .2985305    .3536313
         22  |   .2834134    .018132    15.63   0.000     .2478752    .3189515
         23  |   .3372722   .0230159    14.65   0.000     .2921619    .3823824
         24  |   .3104198   .0177737    17.47   0.000      .275584    .3452556
         25  |   .3359838   .0134874    24.91   0.000     .3095489    .3624186
         26  |   .3627193   .0225591    16.08   0.000     .3185044    .4069343
         27  |   .3179746   .0231277    13.75   0.000     .2726453     .363304
         28  |   .3552982    .018803    18.90   0.000      .318445    .3921514
         29  |   .3474982   .0117123    29.67   0.000     .3245426    .3704539
         30  |   .3036072   .0174022    17.45   0.000     .2694995    .3377149
         31  |   .3589593   .0219937    16.32   0.000     .3158524    .4020662
         32  |   .3314244   .0161504    20.52   0.000     .2997702    .3630786
------------------------------------------------------------------------------

. 
. 
. **Appendix B: Alternative-Specific Conditional Logit Models
. *Table 4: Gender Models
. asclogit author male white iddist assignor clerk aba2 tenure freshman desig if published == 1 & assMale == 1, case(caseID) alterna
> tives(jNum) base(1)
note: 2 cases dropped because they have only one alternative
note: variable male has 1725 cases that are not alternative-specific: there is no within-case variability
note: variable white has 1751 cases that are not alternative-specific: there is no within-case variability
note: variable iddist has 27 cases that are not alternative-specific: there is no within-case variability
note: variable assignor has 84 cases that are not alternative-specific: there is no within-case variability
note: variable clerk has 834 cases that are not alternative-specific: there is no within-case variability
note: variable aba2 has 914 cases that are not alternative-specific: there is no within-case variability
note: variable tenure has 18 cases that are not alternative-specific: there is no within-case variability
note: variable freshman has 2631 cases that are not alternative-specific: there is no within-case variability
note: variable desig has 2075 cases that are not alternative-specific: there is no within-case variability

Iteration 0:   log likelihood = -2959.2638  
Iteration 1:   log likelihood = -2949.3787  
Iteration 2:   log likelihood = -2949.3771  
Iteration 3:   log likelihood = -2949.3771  

Alternative-specific conditional logit         Number of obs      =       8198
Case variable: caseID                          Number of cases    =       2835

Alternative variable: jNum                     Alts per case: min =          2
                                                              avg =        2.9
                                                              max =          3

                                                  Wald chi2(9)    =      54.31
Log likelihood = -2949.3771                       Prob > chi2     =     0.0000

------------------------------------------------------------------------------
      author |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
jNum         |
        male |   .1305926   .0727616     1.79   0.073    -.0120175    .2732027
       white |   .1126539   .0673488     1.67   0.094    -.0193475    .2446552
      iddist |  -.0490979   .1083489    -0.45   0.650    -.2614578     .163262
    assignor |   .2340232   .0676484     3.46   0.001     .1014348    .3666115
       clerk |   .0854073   .0491913     1.74   0.083    -.0110058    .1818205
        aba2 |   .0439975   .0493301     0.89   0.372    -.0526878    .1406827
      tenure |  -.0043473   .0031619    -1.37   0.169    -.0105445      .00185
    freshman |  -.1772112   .1630339    -1.09   0.277    -.4967517    .1423293
       desig |  -.2095182     .09097    -2.30   0.021    -.3878162   -.0312203
-------------+----------------------------------------------------------------
1            |  (base alternative)
-------------+----------------------------------------------------------------
2            |
       _cons |    .046067   .0595146     0.77   0.439    -.0705795    .1627135
-------------+----------------------------------------------------------------
3            |
       _cons |  -.0155659   .0758726    -0.21   0.837    -.1642734    .1331416
------------------------------------------------------------------------------

. asclogit author male white iddist assignor clerk aba2 tenure freshman desig if published == 1 & assMale == 0, case(caseID) alterna
> tives(jNum) base(1)
note: 1 case (2 obs) dropped due to no positive outcome per case
note: variable male has 83 cases that are not alternative-specific: there is no within-case variability
note: variable white has 616 cases that are not alternative-specific: there is no within-case variability
note: variable iddist has 17 cases that are not alternative-specific: there is no within-case variability
note: variable assignor has 54 cases that are not alternative-specific: there is no within-case variability
note: variable clerk has 316 cases that are not alternative-specific: there is no within-case variability
note: variable aba2 has 341 cases that are not alternative-specific: there is no within-case variability
note: variable tenure has 10 cases that are not alternative-specific: there is no within-case variability
note: variable freshman has 970 cases that are not alternative-specific: there is no within-case variability
note: variable desig has 795 cases that are not alternative-specific: there is no within-case variability

Iteration 0:   log likelihood = -1115.8626  
Iteration 1:   log likelihood = -1115.4247  
Iteration 2:   log likelihood = -1115.4247  

Alternative-specific conditional logit         Number of obs      =       3091
Case variable: caseID                          Number of cases    =       1077

Alternative variable: jNum                     Alts per case: min =          2
                                                              avg =        2.9
                                                              max =          3

                                                  Wald chi2(9)    =      19.61
Log likelihood = -1115.4247                       Prob > chi2     =     0.0205

------------------------------------------------------------------------------
      author |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
jNum         |
        male |  -.0302205   .1219128    -0.25   0.804    -.2691651    .2087242
       white |   .0662827   .1073439     0.62   0.537    -.1441075     .276673
      iddist |   .0464272   .1424052     0.33   0.744    -.2326819    .3255363
    assignor |   .0351355   .1389545     0.25   0.800    -.2372104    .3074814
       clerk |   .1751426   .0827333     2.12   0.034     .0129884    .3372968
        aba2 |   .0408943   .0800835     0.51   0.610    -.1160664     .197855
      tenure |   .0032483   .0054901     0.59   0.554    -.0075121    .0140087
    freshman |  -.0134631   .2231075    -0.06   0.952    -.4507458    .4238195
       desig |  -.5389903   .1569605    -3.43   0.001    -.8466272   -.2313535
-------------+----------------------------------------------------------------
1            |  (base alternative)
-------------+----------------------------------------------------------------
2            |
       _cons |  -.0665189   .0952204    -0.70   0.485    -.2531474    .1201096
-------------+----------------------------------------------------------------
3            |
       _cons |   .0807005   .1230343     0.66   0.512    -.1604423    .3218432
------------------------------------------------------------------------------

. asclogit author male white iddist assignor clerk aba2 tenure freshman desig if published == 0 & assMale == 1, case(caseID) alterna
> tives(jNum) base(1)
note: variable male has 978 cases that are not alternative-specific: there is no within-case variability
note: variable white has 815 cases that are not alternative-specific: there is no within-case variability
note: variable iddist has 4 cases that are not alternative-specific: there is no within-case variability
note: variable assignor has 22 cases that are not alternative-specific: there is no within-case variability
note: variable clerk has 428 cases that are not alternative-specific: there is no within-case variability
note: variable aba2 has 637 cases that are not alternative-specific: there is no within-case variability
note: variable tenure has 3 cases that are not alternative-specific: there is no within-case variability
note: variable freshman has 1444 cases that are not alternative-specific: there is no within-case variability
note: variable desig has 1035 cases that are not alternative-specific: there is no within-case variability

Iteration 0:   log likelihood = -1643.1509  
Iteration 1:   log likelihood = -1642.4227  
Iteration 2:   log likelihood = -1642.4225  
Iteration 3:   log likelihood = -1642.4225  

Alternative-specific conditional logit         Number of obs      =       4513
Case variable: caseID                          Number of cases    =       1524

Alternative variable: jNum                     Alts per case: min =          2
                                                              avg =        3.0
                                                              max =          3

                                                  Wald chi2(9)    =      12.54
Log likelihood = -1642.4225                       Prob > chi2     =     0.1844

------------------------------------------------------------------------------
      author |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
jNum         |
        male |  -.1252935     .09877    -1.27   0.205    -.3188792    .0682922
       white |  -.0955962   .0853127    -1.12   0.262    -.2628059    .0716136
      iddist |  -.0768152   .1487544    -0.52   0.606    -.3683683     .214738
    assignor |    .115444   .1051748     1.10   0.272    -.0906948    .3215828
       clerk |    .079112   .0680329     1.16   0.245      -.05423     .212454
        aba2 |   -.043793     .07303    -0.60   0.549    -.1869292    .0993431
      tenure |   .0028531   .0037163     0.77   0.443    -.0044306    .0101368
    freshman |   -.491919   .2685672    -1.83   0.067    -1.018301     .034463
       desig |  -.1067331   .1227372    -0.87   0.385    -.3472936    .1338275
-------------+----------------------------------------------------------------
1            |  (base alternative)
-------------+----------------------------------------------------------------
2            |
       _cons |   .1766728   .0924993     1.91   0.056    -.0046225    .3579682
-------------+----------------------------------------------------------------
3            |
       _cons |   .2673029   .1081913     2.47   0.013     .0552518     .479354
------------------------------------------------------------------------------

. asclogit author male white iddist assignor clerk aba2 tenure freshman desig if published == 0 & assMale == 0, case(caseID) alterna
> tives(jNum) base(1)
note: variable male has 31 cases that are not alternative-specific: there is no within-case variability
note: variable white has 422 cases that are not alternative-specific: there is no within-case variability
note: variable assignor has 15 cases that are not alternative-specific: there is no within-case variability
note: variable clerk has 220 cases that are not alternative-specific: there is no within-case variability
note: variable aba2 has 153 cases that are not alternative-specific: there is no within-case variability
note: variable freshman has 620 cases that are not alternative-specific: there is no within-case variability
note: variable desig has 493 cases that are not alternative-specific: there is no within-case variability

Iteration 0:   log likelihood =  -746.9521  
Iteration 1:   log likelihood = -746.88667  
Iteration 2:   log likelihood = -746.88667  

Alternative-specific conditional logit         Number of obs      =       2054
Case variable: caseID                          Number of cases    =        696

Alternative variable: jNum                     Alts per case: min =          2
                                                              avg =        3.0
                                                              max =          3

                                                  Wald chi2(9)    =       7.82
Log likelihood = -746.88667                       Prob > chi2     =     0.5527

------------------------------------------------------------------------------
      author |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
jNum         |
        male |    .080858   .1550044     0.52   0.602     -.222945    .3846609
       white |   .1238418   .1547921     0.80   0.424    -.1795451    .4272288
      iddist |   .0137026   .1879463     0.07   0.942    -.3546653    .3820706
    assignor |   .1804807   .1970868     0.92   0.360    -.2058024    .5667638
       clerk |  -.2626116   .1057017    -2.48   0.013    -.4697831     -.05544
        aba2 |    .002586   .1006537     0.03   0.980    -.1946916    .1998636
      tenure |   .0036866   .0060669     0.61   0.543    -.0082042    .0155774
    freshman |  -.0182148   .2985725    -0.06   0.951    -.6034061    .5669765
       desig |  -.0021301   .1998111    -0.01   0.991    -.3937526    .3894924
-------------+----------------------------------------------------------------
1            |  (base alternative)
-------------+----------------------------------------------------------------
2            |
       _cons |   .1541526    .142817     1.08   0.280    -.1257636    .4340687
-------------+----------------------------------------------------------------
3            |
       _cons |   .1438433   .1769201     0.81   0.416    -.2029137    .4906003
------------------------------------------------------------------------------

. 
. *Table 5: Race Models
. asclogit author male white iddist assignor clerk aba2 tenure freshman desig if published == 1 & assWhite == 1, case(caseID) altern
> atives(jNum) base(1)
note: 2 cases dropped because they have only one alternative
note: 1 case (2 obs) dropped due to no positive outcome per case
note: variable male has 1551 cases that are not alternative-specific: there is no within-case variability
note: variable white has 2317 cases that are not alternative-specific: there is no within-case variability
note: variable iddist has 37 cases that are not alternative-specific: there is no within-case variability
note: variable assignor has 118 cases that are not alternative-specific: there is no within-case variability
note: variable clerk has 933 cases that are not alternative-specific: there is no within-case variability
note: variable aba2 has 1078 cases that are not alternative-specific: there is no within-case variability
note: variable tenure has 25 cases that are not alternative-specific: there is no within-case variability
note: variable freshman has 3118 cases that are not alternative-specific: there is no within-case variability
note: variable desig has 2473 cases that are not alternative-specific: there is no within-case variability

Iteration 0:   log likelihood = -3518.3356  
Iteration 1:   log likelihood = -3511.6619  
Iteration 2:   log likelihood = -3511.6611  
Iteration 3:   log likelihood = -3511.6611  

Alternative-specific conditional logit         Number of obs      =       9737
Case variable: caseID                          Number of cases    =       3375

Alternative variable: jNum                     Alts per case: min =          2
                                                              avg =        2.9
                                                              max =          3

                                                  Wald chi2(9)    =      60.07
Log likelihood = -3511.6611                       Prob > chi2     =     0.0000

------------------------------------------------------------------------------
      author |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
jNum         |
        male |    .141757   .0517663     2.74   0.006     .0402969    .2432171
       white |   .1868631    .073443     2.54   0.011     .0429174    .3308088
      iddist |  -.0021845   .0935601    -0.02   0.981    -.1855588    .1811899
    assignor |   .1929952   .0598519     3.22   0.001     .0756877    .3103028
       clerk |   .0947677   .0445911     2.13   0.034     .0073707    .1821647
        aba2 |  -.0011782    .045421    -0.03   0.979    -.0902017    .0878453
      tenure |  -.0034196   .0029243    -1.17   0.242    -.0091511    .0023119
    freshman |   .0295198   .1412102     0.21   0.834    -.2472472    .3062868
       desig |  -.2889685    .082866    -3.49   0.000    -.4513828   -.1265542
-------------+----------------------------------------------------------------
1            |  (base alternative)
-------------+----------------------------------------------------------------
2            |
       _cons |  -.0037907   .0537246    -0.07   0.944    -.1090891    .1015076
-------------+----------------------------------------------------------------
3            |
       _cons |   .0227791   .0687731     0.33   0.740    -.1120137     .157572
------------------------------------------------------------------------------

. asclogit author male white iddist assignor clerk aba2 tenure freshman desig if published == 1 & assWhite == 0, case(caseID) altern
> atives(jNum) base(1)
note: variable male has 257 cases that are not alternative-specific: there is no within-case variability
note: variable white has 50 cases that are not alternative-specific: there is no within-case variability
note: variable iddist has 7 cases that are not alternative-specific: there is no within-case variability
note: variable assignor has 20 cases that are not alternative-specific: there is no within-case variability
note: variable clerk has 217 cases that are not alternative-specific: there is no within-case variability
note: variable aba2 has 177 cases that are not alternative-specific: there is no within-case variability
note: variable tenure has 3 cases that are not alternative-specific: there is no within-case variability
note: variable freshman has 483 cases that are not alternative-specific: there is no within-case variability
note: variable desig has 397 cases that are not alternative-specific: there is no within-case variability

Iteration 0:   log likelihood = -551.51295  
Iteration 1:   log likelihood = -549.35801  
Iteration 2:   log likelihood = -549.35497  
Iteration 3:   log likelihood = -549.35497  

Alternative-specific conditional logit         Number of obs      =       1552
Case variable: caseID                          Number of cases    =        537

Alternative variable: jNum                     Alts per case: min =          2
                                                              avg =        2.9
                                                              max =          3

                                                  Wald chi2(9)    =      17.03
Log likelihood = -549.35497                       Prob > chi2     =     0.0483

------------------------------------------------------------------------------
      author |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
jNum         |
        male |   .0595356   .1323525     0.45   0.653    -.1998706    .3189417
       white |  -.0553741   .1899131    -0.29   0.771     -.427597    .3168489
      iddist |    -.08628   .2297237    -0.38   0.707    -.5365303    .3639702
    assignor |   .1320652   .2099665     0.63   0.529    -.2794615    .5435919
       clerk |   .1575863    .119961     1.31   0.189    -.0775329    .3927055
        aba2 |    .138671   .1165677     1.19   0.234    -.0897975    .3671395
      tenure |   .0011546   .0076404     0.15   0.880    -.0138203    .0161295
    freshman |  -.9263215   .4152057    -2.23   0.026     -1.74011   -.1125333
       desig |  -.4067286   .2319382    -1.75   0.079    -.8613191    .0478618
-------------+----------------------------------------------------------------
1            |  (base alternative)
-------------+----------------------------------------------------------------
2            |
       _cons |   .0920934   .1258461     0.73   0.464    -.1545605    .3387473
-------------+----------------------------------------------------------------
3            |
       _cons |  -.0988177   .1699811    -0.58   0.561    -.4319745    .2343391
------------------------------------------------------------------------------

. asclogit author male white iddist assignor clerk aba2 tenure freshman desig if published == 0 & assWhite == 1, case(caseID) altern
> atives(jNum) base(1)
note: variable male has 712 cases that are not alternative-specific: there is no within-case variability
note: variable white has 1216 cases that are not alternative-specific: there is no within-case variability
note: variable iddist has 3 cases that are not alternative-specific: there is no within-case variability
note: variable assignor has 28 cases that are not alternative-specific: there is no within-case variability
note: variable clerk has 486 cases that are not alternative-specific: there is no within-case variability
note: variable aba2 has 664 cases that are not alternative-specific: there is no within-case variability
note: variable tenure has 3 cases that are not alternative-specific: there is no within-case variability
note: variable freshman has 1624 cases that are not alternative-specific: there is no within-case variability
note: variable desig has 1229 cases that are not alternative-specific: there is no within-case variability

Iteration 0:   log likelihood = -1877.1532  
Iteration 1:   log likelihood = -1876.5931  
Iteration 2:   log likelihood =  -1876.593  

Alternative-specific conditional logit         Number of obs      =       5153
Case variable: caseID                          Number of cases    =       1743

Alternative variable: jNum                     Alts per case: min =          2
                                                              avg =        3.0
                                                              max =          3

                                                  Wald chi2(9)    =      12.40
Log likelihood =  -1876.593                       Prob > chi2     =     0.1915

------------------------------------------------------------------------------
      author |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
jNum         |
        male |  -.0665602   .0711749    -0.94   0.350    -.2060604      .07294
       white |  -.1200065   .1015649    -1.18   0.237    -.3190702    .0790571
      iddist |  -.1191554   .1303404    -0.91   0.361    -.3746179    .1363071
    assignor |    .088512    .095924     0.92   0.356    -.0994955    .2765196
       clerk |   -.116254   .0629429    -1.85   0.065    -.2396199    .0071118
        aba2 |  -.0002153   .0678358    -0.00   0.997    -.1331711    .1327406
      tenure |   .0021045   .0034114     0.62   0.537    -.0045818    .0087908
    freshman |   -.438692   .2223572    -1.97   0.049    -.8745042   -.0028799
       desig |   -.085591   .1157911    -0.74   0.460    -.3125375    .1413554
-------------+----------------------------------------------------------------
1            |  (base alternative)
-------------+----------------------------------------------------------------
2            |
       _cons |   .1650783   .0890645     1.85   0.064    -.0094848    .3396414
-------------+----------------------------------------------------------------
3            |
       _cons |   .2596447   .1023119     2.54   0.011      .059117    .4601724
------------------------------------------------------------------------------

. asclogit author male white iddist assignor clerk aba2 tenure freshman desig if published == 0 & assWhite == 0, case(caseID) altern
> atives(jNum) base(1)
note: variable male has 297 cases that are not alternative-specific: there is no within-case variability
note: variable white has 21 cases that are not alternative-specific: there is no within-case variability
note: variable iddist has 1 cases that are not alternative-specific: there is no within-case variability
note: variable assignor has 9 cases that are not alternative-specific: there is no within-case variability
note: variable clerk has 162 cases that are not alternative-specific: there is no within-case variability
note: variable aba2 has 126 cases that are not alternative-specific: there is no within-case variability
note: variable freshman has 440 cases that are not alternative-specific: there is no within-case variability
note: variable desig has 299 cases that are not alternative-specific: there is no within-case variability

Iteration 0:   log likelihood =  -509.2012  
Iteration 1:   log likelihood = -508.83006  
Iteration 2:   log likelihood = -508.83004  

Alternative-specific conditional logit         Number of obs      =       1414
Case variable: caseID                          Number of cases    =        477

Alternative variable: jNum                     Alts per case: min =          2
                                                              avg =        3.0
                                                              max =          3

                                                  Wald chi2(9)    =      15.65
Log likelihood = -508.83004                       Prob > chi2     =     0.0746

------------------------------------------------------------------------------
      author |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
jNum         |
        male |  -.0168987   .1752219    -0.10   0.923    -.3603273    .3265299
       white |   .0231019   .2282543     0.10   0.919    -.4242683    .4704722
      iddist |   -.010489   .2591485    -0.04   0.968    -.5184108    .4974328
    assignor |  -.0538364   .2441332    -0.22   0.825    -.5323288    .4246559
       clerk |    .503521    .137101     3.67   0.000      .234808     .772234
        aba2 |  -.2837403   .1267394    -2.24   0.025    -.5321449   -.0353357
      tenure |   .0050791   .0079001     0.64   0.520    -.0104049     .020563
    freshman |  -.0421286   .4175088    -0.10   0.920    -.8604307    .7761736
       desig |   .1947541   .2271602     0.86   0.391    -.2504717      .63998
-------------+----------------------------------------------------------------
1            |  (base alternative)
-------------+----------------------------------------------------------------
2            |
       _cons |   .1204632   .1602385     0.75   0.452    -.1935985    .4345249
-------------+----------------------------------------------------------------
3            |
       _cons |   -.125338   .2055401    -0.61   0.542    -.5281891    .2775131
------------------------------------------------------------------------------

. 
. log close
      name:  <unnamed>
       log:  /Users/rachaelhinkle/Dropbox/diversityPublication/AuthorshipPaper/dataFilesR&R/authorship.log
  log type:  text
 closed on:   8 Dec 2017, 11:05:46
------------------------------------------------------------------------------------------------------------------------------------
